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Alibaba Qwen logo

Qwen2.5-Max

by Alibaba Qwen · Released Jan 2024

Open Source
36.2
avg score
Rank #218
Compare
Better than 30% of all models
Context
N/A
Input $/1M
n/a
Output $/1M
n/a
Type
text
License
Open Source
Benchmarks
8 tested
Data as of
About

Tested on 8 benchmarks · BenchGecko score 36.2. Top scores: Chatbot Arena Elo — Overall (1373.8%), Lech Mazur Writing (72.9%), MATH level 5 (67.2%).

Capabilities
coding
21.8
#175 globally
math
28.3
#199 globally
knowledge
60.4
#55 globally
Benchmark Scores
Compare All
Tested on 8 benchmarks · Ranked across 4 categories
Score Distribution (all 312 models)
0255075100
▲ You are here
codingCompare coding →
Aider polyglot

Multi-language code editing from Aider. Tests editing ability across Python, JavaScript, TypeScript, Java, C++, Go, Rust, and more.

21.8·
mathCompare math →
MATH level 5

Competition-level math from AMC, AIME, and olympiad problems. Level 5 is the hardest tier, requiring creative problem-solving.

67.2·
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

16.0·
FrontierMath-2025-02-28-Private

Original research-level math problems created by professional mathematicians. Problems are unpublished and cannot be memorized.

1.8·
knowledgeCompare knowledge →
Lech Mazur Writing

Writing quality evaluation by Lech Mazur. Tests prose quality, coherence, and stylistic ability.

72.9·
Fiction.LiveBench

LiveBench fiction analysis. Tests literary comprehension and creative text understanding.

66.7·
GPQA diamond

Graduate-level science questions written by PhD experts. Diamond subset contains questions where experts disagree, testing deep understanding.

41.5·
Quick compare:Alibaba Qwen logovs Qwen3 8BMeta logovs Llama 3.2 90BGoogle DeepMind logovs Gemini 1.5 Pro (May 2024)
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Model Family · Alibaba Qwen Qwen 2.5
Sep 2024
59.6
$0.36/M in33Kctx28 benchmarks
Oct 2024
34.8-24.8
$0.10/M in(-0.26)33Kctx13 benchmarks
Nov 2024
71.4+36.6
$0.66/M in(+0.56)33Kctx14 benchmarks
Apr 2025
56.3-15.1
$0.03/M in(-0.63)33Kctx12 benchmarks
Mar 2025
$0.20/M in(+0.17)128Kctx(+95K)
Feb 2025
$0.80/M in(+0.60)128Kctx
Jan 2024
54.6-1.7
n/an/actx4 benchmarks
Jan 2024
36.2-18.4
n/an/actx8 benchmarks
See the full Qwen 2.5 family →
Similar Models
Alibaba Qwen logo
Qwen3 8B
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36.3$0.12/1M
Meta logo
Llama 3.2 90B
Meta
36.3n/a
Google DeepMind logo
Gemini 1.5 Pro (May 2024)
Google DeepMind
36.3n/a
Links
Info
Alibaba QwenPricing explorerDevelopers · API
Research
Technical Report
Documentation
API DocsPlayground
Community
@Alibaba Qwen
Source Code
GitHubHugging Face
BenchGecko API
qwen2-5-max
Specifications
  • Typetext
  • ContextN/A
  • ReleasedJan 2024
  • LicenseOpen Source
  • Statusbenchmark-only
Available On
Alibaba Qwen logoAlibaba Qwenn/a
Categories
codingmathknowledge
Learn More
transformeropen weightstokens
Share & Export
Tweet
Related Models
Alibaba Qwen logoQwen3 8B
36.3
Meta logoLlama 3.2 90B
36.3
Google DeepMind logoGemini 1.5 Pro (May 2024)
36.3
Meta logoLlama 2-13B
36.4
Qwen2.5-Max is an open-source text AI model by Alibaba Qwen, released in January 2024. It has an average benchmark score of 36.2.

Related Models

Qwen3 8B · Alibaba QwenLlama 3.2 90B · MetaGemini 1.5 Pro (May 2024) · Google DeepMindLlama 2-13B · MetaQwen3.5-Flash · Alibaba Qwen

Benchmarks

Chatbot Arena Elo — OverallLech Mazur WritingMATH level 5Fiction.LiveBenchGPQA diamond

Related Pages

Alibaba Qwen · ProviderAlibaba Qwen · EconomyAll ModelsCompare ModelsPricingDevelopers · API

Key facts · as of 2026-04-09

  • Qwen2.5-Max by Alibaba Qwen. BenchGecko score 36.2, rank 218 of 312 scored models (normalized average of public benchmark scores).
  • List price n/a input · n/a output per 1M tokens (as of 2026-04-09).

How to cite · data as of 2026-04-09

Qwen2.5-Max · benchmarks, pricing and providers. BenchGecko, data as of 2026-04-09. https://benchgecko.ai/model/qwen2-5-max

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP